leeds, west yorkshire, yorkshire and the humber, United Kingdom
Protect Group
or online business context. Commercially minded, thinking about ways to increase revenue & profitability. Proficiency in data manipulation tools (Python, Pandas, Spark, SQL) and data visualization tools (Apache Superset, Tableau, Power BI, ggplot2) and MS Excel. Grasp of pricing strategies, market dynamics, and consumer behaviour in the online space is a more »
control tools such as Git/GitHub · Should be able to perform Exploratory Data Analysis and get actionable insights from the data, with impressive visualization (Power BI) · Experience in building large scale DW/BI systems for B2B SAAS companies · Experience with open-source tools like Apache Flink and AWS more »
Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and more »
Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and more »
Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and more »
Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and more »
Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and more »
Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and more »
Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and more »
Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and more »
SQL to extract data from internal databases and leverage Python for data acquisition from external sources (APIs/web scraping). Skilled in data visualization tools (e.g., Tableau) and creating clear, concise data summaries (e.g., PowerPoint) for diverse audiences, including senior leadership. Proficient in Python and familiar with machine learning more »
Learning for model development and deployment. Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Strong proficiency in programming languages such as Python, R, and SQL, crucial more »
Learning for model development and deployment. Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Strong proficiency in programming languages such as Python, R, and SQL, crucial more »
and stored procedures. • Experience with SSIS, SSRS, and SSAS. • Strong understanding of data warehousing concepts, ETL, and data modelling. • Familiarity with statistical analysis, data visualization, data mining, and data transformation. • Power BI certification is a plus. • Proven problem-solving skills and the ability to handle conflicts and troubleshoot issues. • Excellent more »
london, south east england, United Kingdom Hybrid / WFH Options
Anson McCade
and stored procedures. • Experience with SSIS, SSRS, and SSAS. • Strong understanding of data warehousing concepts, ETL, and data modelling. • Familiarity with statistical analysis, data visualization, data mining, and data transformation. • Power BI certification is a plus. • Proven problem-solving skills and the ability to handle conflicts and troubleshoot issues. • Excellent more »
of Advanced Analytics Team education: Educate the organisation on data, data science, Analytics, AI and data to improve data literacy across the business Data visualisation: Creation of optimised business views in Power BI to enable the business to make decisions using our data science models Data stack enrichment: Feed the more »
Python, R, or SQL. * Experience with automation tools and technologies such as RPA, UIPath, Blue Prism, or WatsonX. * Strong understanding of data analysis and visualization tools such as Tableau, Power BI, or QlikView. * Familiarity with database management systems such as MySQL, Oracle, or SQL Server. * Excellent problem-solving skills and more »
Experience with data warehouse technologies and data integration processes. • Knowledge of ETL (Extract, Transform, Load) processes and data integration. • Experience in data modelling, data visualization, and report development. • Strong analytical and problem-solving skills, with the ability to translate complex data into meaningful insights and actionable recommendations. • Proficiency in PowerApps more »
Proven working experience in implementing and optimizing data pipelines Hands-on experience with cloud platforms (preferably AWS) and event-driven architecture Experience in data visualization and UI Expertise in ensuring data quality and integrity through automated monitoring and testing Excellent communication skills, both written and verbal Self-motivated, proactive, and more »
support the design and maintenance of data and business intelligence applications and platforms that are internally created. You’ll develop and enhance dashboards and visualization applications that transform large, complex data into meaningful insights that management can use to produce informed business decisions. You’ll maintain data integrity for applications more »
Cypher Advantageous - Microsoft Azure cloud technologies e.g. Blob Storage, ADLS, Azure DevOps, Azure Logic Apps, Azure Functions Advantageous - Delta Lake storage layer Advantageous - Data visualisation tools e.g. PowerBI, Tableau, Thoughtspot, D3.js What can you expect from Mars? Work with over 130,000 diverse and talented Associates, all guided by the more »
Cypher Advantageous - Microsoft Azure cloud technologies e.g. Blob Storage, ADLS, Azure DevOps, Azure Logic Apps, Azure Functions Advantageous - Delta Lake storage layer Advantageous - Data visualisation tools e.g. PowerBI, Tableau, Thoughtspot, D3.js What can you expect from Mars? Work with over 130,000 diverse and talented Associates, all guided by the more »
MicroStrategy. 5. Strong analytical and problem-solving skills, with the ability to translate complex business requirements into practical BI solutions. 6. Familiarity with data visualization best practices and the ability to design compelling and intuitive dashboards and reports. 7. Knowledge of data integration techniques and tools (e.g., SSIS, Informatica) is more »
MicroStrategy. 5. Strong analytical and problem-solving skills, with the ability to translate complex business requirements into practical BI solutions. 6. Familiarity with data visualization best practices and the ability to design compelling and intuitive dashboards and reports. 7. Knowledge of data integration techniques and tools (e.g., SSIS, Informatica) is more »
into experimentation and testing, and modeling. Basic qualifications: • 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience • Experience with data visualization using Tableau, Quicksight, or similar tools • Experience with data modeling, warehousing and building ETL pipelines • Experience in Statistical Analysis packages such as R, SAS and more »
